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Legend:
CC = Vancouver Convention Centre   F = Fairmont Waterfront Vancouver
* = applied session       ! = JSM meeting theme

Activity Details


9 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 202
Data Science Education - Successes and Challenges: Stories from the Classroom and Beyond — Invited Papers
Journal of Statistics Education, Business Analytics/Statistics Education Interest Group, Section on Statistical Education
Organizer(s): Soma Roy, Cal Poly, San Luis Obispo
Chair(s): Amy Wagler, The University of Texas at El Paso
2:05 PM Teaching Students to Think About Data Representation
Dennis L Sun, Cal Poly and Google
2:25 PM An Interdisciplinary Approach to Data Science Education
Presentation
Galin Jones, University of Minnesota
2:45 PM Scaling a Data Science Curriculum to the Masses: Success and Failures in the Undergraduate Classroom
Thomas Fisher, Miami University
3:05 PM Data Science: a Recent Graduate's 'Reverse Engineered' Perspective
Presentation
Kelsey Warsinske, DePauw University, Miami University, Facebook
3:25 PM Discussant: Nicholas J. Horton, Amherst College
3:45 PM Floor Discussion
 
 

22 * !
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 210
The World of Data Analysis Professionals — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Business Analytics/Statistics Education Interest Group
Organizer(s): Nancy Wang, Celerion
Chair(s): Nancy Wang, Celerion
2:05 PM Bridge the Gap Between Statistician and Data Analysis Professionals
Presentation
Ming Li, Amazon
2:25 PM Boost Your Analytical Power by Utilizing Text Data
Jin Su, Johnson & Johnson Vision Care; Danielle Boree, Johnson & Johnson Vision
2:45 PM Statistics at Consumer Reports
Presentation
Michael Saccucci, Consumer Reports
3:05 PM Developing a Data Science Program; Challenges and Outcomes
Presentation
Mahbubul Majumder, University of Nebraska at Omaha
3:25 PM Discussant: Greg Valin, Amgen, Inc
3:45 PM Floor Discussion
 
 

30
Sun, 7/29/2018, 2:00 PM - 3:50 PM CC-West 209
SPEED: Statistics and Econometrics — Contributed Speed
Business and Economic Statistics Section, Quality and Productivity Section, Section on Statistical Graphics, Transportation Statistics Interest Group, Section on Statistics in Marketing, Business Analytics/Statistics Education Interest Group
Chair(s): Denis Talbot, Universite Laval
Poster Presentations for this session.
2:05 PM Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
2:20 PM Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau; Tucker S McElroy, U.S. Census Bureau
2:25 PM Sample Size Requirements for Estimating L-Moments
Timothy Anderson, Air Force Institute of Technology; Christine M Schubert, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Lab
2:30 PM THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
Presentation
John Angle, The Inequality Process Institute LLC
2:35 PM Repeated-Measures ANCOVA for an Antibiotic-Free Experiment in Swine
Presentation
Danielle Wilson-Wells, DNA Genetics; Tom A. Rathje, DNA Genetics; Caitlyn E Bruns, DNA Genetics
2:45 PM Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Presentation
Donggyu Kim, KAIST; Jianqing Fan, Princeton University
2:50 PM Is Faster Always Better? Results from Joint Time-Use-Expenditure and Mode Choice Model
Presentation
Simona Jokubauskaite, Institute of Applied Statistics and Computing, BOKU Vienna; Reinhard Hoessinger, Institute for Transport Studies, BOKU Vienna; Florian Aschauer, Institute for Transport Studies, BOKU Vienna; Regine Gerike, Institute of Transport Planning and Road Traffic, TU Dresden; Sergio Jara-Diaz, University of Chile; Stefanie Peer, Institute for Multi-Level Governance and Development, WU Vienna; Basil Schmid, Institute for Transport Planning and Systems, ETH Zurich; Kay W. Axhausen, Institute for Transport Planning and Systems, ETH Zurich; Friedrich Leisch, Institute of Applied Statistics and Computing, BOKU Vienna
3:00 PM Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Presentation
Michael Fu, Smith School of Business
3:05 PM Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
3:10 PM Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins
Presentation
Huynh Kim, Bank of Canada; Heng Chen, Bank of Canada; Oz Shy, Unaffiliated
3:15 PM Enhancing Communication in Data Visualization
Presentation
Mojca Bavdaz, University of Ljubljana; Irena Bolko, University of Ljubljana, Social Science Data Archives
3:20 PM The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
3:25 PM Model Averaging in a Multiplicative Heteroscedastic Model
Presentation
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
3:30 PM The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire
3:35 PM Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Presentation
Lihan Yan, FDA; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
3:40 PM Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
3:45 PM Applications of Non-Standard Disclosure-Avoidance Methods in Clinical Trials Data
Barbara Do, RTI International; Pooja Iyer, RTI International
 
 

73
Sun, 7/29/2018, 4:00 PM - 5:50 PM CC-West 208
Data Driven Digital and Social Media Marketing — Contributed Papers
Section on Statistics in Marketing, Business Analytics/Statistics Education Interest Group
Chair(s): Yichen Qin, University of Cincinnati
4:05 PM Understand the Impact of Video Game Marketing Spend: a Data Science Approach of Multi-Touch Attribution
Yushu Chai, Electronic Arts, Inc.; Chen Teel, Electronic Arts
4:20 PM The Strategy and Tactics of Search Advertising Business: Evidence from the Chinese E-Commerce Market
Presentation
Min Li, California State University, Sacramento; Joseph Richards, California State University, Sacramento
4:35 PM Build-Your-Own Dashboards for Metric Choice
Presentation
Peter Lenk, University of Michigan; Ofer Mintz, University of Sydney; Yakov Bart, Northeastern University; David Reibstein, University of Pennsylvania
4:50 PM Forecasting Accuracy of Topic Modeling Techniques for Online Reviews: a Benchmark Study
Yuan Cheng, Cornell University; Shawn Mankad, Cornell University
5:05 PM Practical Approaches to Performance Rankings
Alan Roshwalb, Ipsos; John Paul Vidmar, Ipsos Public Affairs; Robert Petrin, Ipsos Public Affairs
5:20 PM Paying for Privacy While Selling Your Data: a Discrete Choice Experiment
Zhouyu Wu, Cornell University
5:35 PM Floor Discussion
 
 

86
Sun, 7/29/2018, 5:05 PM - 5:50 PM CC-West Hall B
SPEED: Statistics and Econometrics — Contributed Poster Presentations
Business and Economic Statistics Section, Quality and Productivity Section, Section on Statistical Graphics, Transportation Statistics Interest Group, Section on Statistics in Marketing, Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
Oral Presentations for this session.
21: Advantageous Statistical Tools for Stock Market Investing
Kenneth Davis
24: Benchmarking Monthly Seasonally Adjusted Series to Quarterly Adjustments
Brian Monsell, U.S. Census Bureau; Tucker S McElroy, U.S. Census Bureau
25: Sample Size Requirements for Estimating L-Moments
Timothy Anderson, Air Force Institute of Technology; Christine M Schubert, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Lab
26: THE INEQUALITY PROCESS' (IP's) FOOTPRINT in STOCK MARKET
John Angle, The Inequality Process Institute LLC
27: Repeated-Measures ANCOVA for an Antibiotic-Free Experiment in Swine
Danielle Wilson-Wells, DNA Genetics; Tom A. Rathje, DNA Genetics; Caitlyn E Bruns, DNA Genetics
29: Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST; Jianqing Fan, Princeton University
30: Is Faster Always Better? Results from Joint Time-Use-Expenditure and Mode Choice Model
Simona Jokubauskaite, Institute of Applied Statistics and Computing, BOKU Vienna; Reinhard Hoessinger, Institute for Transport Studies, BOKU Vienna; Florian Aschauer, Institute for Transport Studies, BOKU Vienna; Regine Gerike, Institute of Transport Planning and Road Traffic, TU Dresden; Sergio Jara-Diaz, University of Chile; Stefanie Peer, Institute for Multi-Level Governance and Development, WU Vienna; Basil Schmid, Institute for Transport Planning and Systems, ETH Zurich; Kay W. Axhausen, Institute for Transport Planning and Systems, ETH Zurich; Friedrich Leisch, Institute of Applied Statistics and Computing, BOKU Vienna
31: Monte Carlo Tree Search and AlphaZero: Past, Present, and Future
Michael Fu, Smith School of Business
32: Bootstrap and Asymptotic Inference with Multiway Clustering
Matthew Webb, Carleton University; James Gordon MacKinnon, Queen's University; Morten Ø Nielsen, Queen's University and CREATES
33: Cash Versus Card: Payment Discontinuities and the Burden of Holding Coins
Huynh Kim, Bank of Canada; Heng Chen, Bank of Canada; Oz Shy, Unaffiliated
34: Enhancing Communication in Data Visualization
Mojca Bavdaz, University of Ljubljana; Irena Bolko, University of Ljubljana, Social Science Data Archives
35: The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
36: Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
37: The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire
38: Two-Sample Test for Covariance Operators with Incompletely Observed Functional Data
Lihan Yan, FDA; Tao Zhang, Guangxi University of Science and Technology; Zhaohai Li, George Washington University
39: Perspectives, Performance Measurement, and Multivariate Analysis of Grades in Teaching Statistics
William Seaver, Univ. of Tennessee at Knoxville; Missy Morris, Univ. of Tennessee at Knoxville; Thomas Edmiston, Univ. of Tennessee at Knoxville
40: Applications of Non-Standard Disclosure-Avoidance Methods in Clinical Trials Data
Barbara Do, RTI International; Pooja Iyer, RTI International
Oral Presentations for this session.
 
 

101 * !
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 121
Network Analytics in the Era of Big Data — Invited Papers
Section on Statistics in Marketing, Society for Clinical Trials, Business Analytics/Statistics Education Interest Group
Organizer(s): Yichen Qin, University of Cincinnati
Chair(s): Yang Li, Renmin University of China
8:35 AM Estimation of Change Point in Temporally Evolving Networks
Presentation
Moulinath Banerjee, University of Michigan; George Michailidis, University of Florida; Monika Bhatacharjee, University of Florida
9:00 AM Randomization for Networked Experiments Using Random Dot Product Graphs
Yichen Qin, University of Cincinnati; Carey E Priebe, Johns Hopkins University
9:25 AM Decision-Theoretic Aspects of Causal Inference Under Network Interference
Presentation
Daniel L Sussman, Boston University
9:50 AM Community Detection in Multilayer Networks with Heterogeneous Community Structure
James D. Wilson, University of San Francisco
10:15 AM Floor Discussion
 
 

118
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 209
SPEED: Teaching Statistics: Strategies and Applications — Contributed Speed
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Brenna Curley, Moravian College
Poster Presentations for this session.
8:35 AM Introducing R to Non-STEM Undergraduates in a Second-Semester Statistics Course
Presentation
Darlene Olsen, Norwich University
8:45 AM The Statistics Workshop: Cultivating Diversity in Statistics
Presentation
Gretchen Martinet, University of Virginia; Jeffrey J. Holt, University of Virginia
8:50 AM Statistical Programming to Principles of Data Science: Rethinking the Traditional Statistical Programming Curricula
Andrew Hoegh, Montana State University
8:55 AM Shiny Dashboards to Help Students Improve Performance
Presentation
Robert Carver, Brandeis International Business School
9:00 AM A Hands-on Inferential Statistics Experiment: Do Students Perceive Value?
Presentation
Sudipta Roy, University of St. Francis; Richard Kloser, University of St. Francis
9:05 AM How Students Make Sense of Data on an E-Learning Platform
Presentation
Philipp Burckhardt, Carnegie Mellon University; Christopher Genovese, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University
9:10 AM Efficacy of 'the Islands'-Based Projects Compared to Student-Collected Data Projects in Introductory Statistics Courses
Presentation
Ryne VanKrevelen, Elon University; Kirsten Doehler, Elon University; Andrea Metts, Elon University; Lisa Rosenberg, Elon University; Laura Taylor, Elon University
9:15 AM The Impact of Academically Homogeneous Classrooms in Undergraduate Statistics Education
Presentation
James Pleuss, United States Military Academy
9:20 AM A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Presentation
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
9:30 AM The Novel Communication Tool: Mathematics Classroom Collaborator (MC2)
Sohee Kang, University of Toronto Scarborough; Marco Pollanen, Trent University; Sotirios Damouras , University of Toronto Scarborough
9:35 AM Predicting Student Performance in Undergraduate Introductory Statistics Courses
Presentation
Dusty Turner, USMA
9:45 AM Type S Error Control in Hypothesis Testing
Presentation
Andrew Neath, SIU Edwardsville
9:50 AM Affordable and Open Educational Resources (OER) in Statistical Education
Suhwon Lee, Univ of Missouri
9:55 AM Introducing Forecast Intervals with a Confidence Game
Presentation
Robin Lock, St. Lawrence University
10:00 AM Teaching Statistical Consulting at Primarily Undergraduate Institutions
Presentation
Tracy Morris, University of Central Oklahoma; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
10:05 AM Helping All Students Properly Design and Analyze Experiments
Presentation
Jennifer Broatch, Arizona State University
10:10 AM Recreational Statistics at the Junior High/High-School Level
Presentation
Joy Yang, MIT
10:15 AM Providing Introductory Students a Big Data Experience
Paul Stephenson, Grand Valley State University; Patricia Stephenson, Grand Valley State University; Lori Hahn, Grand Valley State University
 
 

128
Mon, 7/30/2018, 8:30 AM - 10:20 AM CC-West 115
Curricular Considerations for Statistics and Data Science Education — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Kevin McCarter, Louisiana State University
8:35 AM Revisit: a Statistical Teaching Tool in R
Presentation
Tiffany Eunice Chen, UC Davis; Emily Watkins, UC Davis; Norman Matloff, University of California at Davis
8:50 AM Developing an Introductory Data Science Course in a Computer Science Curriculum
Presentation
Dianna Spence, University of North Georgia
9:05 AM Teaching Bayesian Statistics in Undergraduate Classes
Presentation
Ananda Jayawardhana, Pittsburg State University
9:20 AM Statistics Projects in a PIC-MATH Course
Debra Hydorn, University of Mary Washington
9:35 AM Statistical Literacy and the Log-Normal Distribution
Presentation
Milo Schield, Augsburg College
9:50 AM A Venn-Diagram Analysis of the Role of Statistics in Data Science
Presentation
John McKenzie, Babson College
10:05 AM Floor Discussion
 
 

145 * !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 204
Big Data Statistical Challenges and Opportunities in Industry — Invited Papers
Section on Statistical Consulting, Section on Risk Analysis, National Institute of Statistical Sciences, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:35 AM Deep Analytics for Risk Analysis and Mitigation: From NLP Computer Vision to Sensors
Siddhartha Dalal, Columbia University
10:55 AM Risk Analysis in Banking
Vijayan Nair, 215157
11:15 AM Sound Statistical Inference from Big Data in the Insurance Industry
Presentation
Christopher Haydon Holloman, ICC
11:35 AM Feature Engineering from Scratch
Andrew Smith, Google
11:55 AM Discussant: James L Rosenberger, NISS (National Institute of Statistical Sciences) and Penn State
12:15 PM Floor Discussion
 
 

153 !
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West 202
Creating and Sustaining an Undergraduate Research Program — Topic Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Justin Blaise Post, North Carolina State University
Chair(s): Nathan Tintle, Dordt College
10:35 AM Understanding the Benefits and Barriers of Undergraduate Research in Statistics
Kelly McConville, Swarthmore College; Joseph Nolan, Northern Kentucky University; Vittorio Addona, Macalester College; Nathan Tintle, Dordt College; Dennis Pearl, Penn State University
10:55 AM Mentoring Undergraduate Research Students in the Spirit of the Liberal Arts: Adding Depth to Breadth
Vittorio Addona, Macalester College
11:15 AM Implementing a Department-Wide Undergraduate Research Program
Justin Blaise Post, North Carolina State University
11:35 AM Using University Athletic Programs as a Platform for Undergraduate Research
Gilbert Fellingham, Brigham Young University
11:55 AM Finding Undergraduate Research Projects: Pipelines Within a University
Presentation
Emily Griffith, NC State University; Stephany Dunstan, Office of Assessment, North Carolina State University
12:15 PM Floor Discussion
 
 

181
Mon, 7/30/2018, 10:30 AM - 12:20 PM CC-West Hall B
Contributed Poster Presentations: Section on Statistical Education — Contributed Poster Presentations
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Paul McNicholas, McMaster University
4: Statistical Problem-Solving Cycles While Solving Simulation Tasks During Guided Interviews
Jonathan M Brown, University of Minnesota - Twin Cities; Robert C delMas, University of Minnesota - Twin Cities; Andrew S Zieffler, University of Minnesota - Twin Cities
5: The Difference Two Data Points Can Make
Kirk Anderson, Grand Valley State University; Mary Richardson, Grand Valley State University
6: Engaging Students with Technology
Jeffrey Woo, University of Virginia
7: Creating Custom Take Home Exams for Statistics Courses with R Markdown
Michael Rutter, Penn State Erie, The Behrend College
8: Tools, Resources and Skills for Statistics Distance Learning/Blended Learning
Xiaofang Shi, University of Kentucky
9: Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay
 
 

212 * !
Mon, 7/30/2018, 2:00 PM - 3:50 PM CC-West 109
An Emerging Ecosystem for Data Science/Statistics Education — Invited Papers
Section on Statistical Education, Section on Statistical Computing, SSC, Business Analytics/Statistics Education Interest Group
Organizer(s): Albert Y. Kim, Smith College
Chair(s): Albert Y. Kim, Smith College
2:05 PM Version Control: The Gain You Get for Your Pain
Presentation
Jennifer Bryan, RStudio, University of British Columbia
2:25 PM Using Data to Drive Curriculum Development
Presentation
Chester Ivan Ismay, DataCamp
2:45 PM Authoring and Utilizing Open Source, Reproducible Statistics/Data Science Textbooks
Presentation
Alicia A Johnson, Macalester College
3:05 PM Aligning Inference with the Tidyverse: Development of the Infer Package
Presentation 1 Presentation 2
Andrew Paul Bray, Reed College
3:25 PM Streamline Your Class with RStudio
Presentation
Garrett Grolemund, RStudio Inc.
3:45 PM Floor Discussion
 
 

287
Tue, 7/31/2018, 8:30 AM - 10:20 AM CC-West 210
Student Outcomes in Undergraduate Courses Using a Simulation-Based Inference Approach to Teaching Statistics — Topic Contributed Papers
Section on Statistical Education, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Nathan Tintle, Dordt College
Chair(s): Beth Chance, Cal Poly - San Luis Obispo
8:35 AM Assessing Student Improvement in a Multi-Section Coordinated Simulation-Based Curriculum
Stacey Hancock, Montana State University
8:55 AM Simulation-Based Inference in a Large, Online Intro Course: Meaningful Assessment with Minimal Grading
Presentation
Erin Blankenship, University of Nebraska
9:15 AM Assessing Students' Strengths and Weaknesses in Simulation-Based Introductory Statistics Courses at the Graduate and Undergraduate Levels
Anelise Sabbag, Cal Poly State University
9:35 AM Results from a Multi-Institution Study of the Progression and Retention of Student Learning Using Simulation-Based Inference
Presentation
Nathan Tintle, Dordt College
9:55 AM Extending Simulation-Based Inference to a Conceptual Second Course in Statistics: Finding Meaning in a Multivariate World
Presentation
Karen McGaughey, Cal Poly State University
10:15 AM Floor Discussion
 
 

328 *
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-East 10
What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments — Invited Panel
Section on Statistical Consulting, ASA Caucus of Academic Representatives, Business Analytics/Statistics Education Interest Group, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Martin S. Levy, University of Cincinnati
Chair(s): Peng Wang, University of Cincinnati
10:35 AM What Should Be the Role of Collaboration/Consulting for Applied Statistical Faculty Members in Academia: Rewards and Punishments
Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists: Virginia Lesser, Oregon State University
Shane Reese, Brigham Young University
George P. McCabe, Purdue University
Dipak Kumar Dey, University of Connecticut
James Cochran, University of Alabama
12:10 PM Floor Discussion
 
 

348
Tue, 7/31/2018, 10:30 AM - 12:20 PM CC-West 112
Investigations into the Teaching and Learning of Statistics — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Joy Yang, MIT
10:35 AM Developing a Student Survey of Motivational Attitudes Toward Statistics
Presentation
Alana Unfried, California State University, Monterey Bay; Sarah Coffin, California State University, Monterey Bay; April Kerby, Winona State University
10:50 AM The Impact of a Growth Mindset Lecture on Traditional and Non-Traditional Statistics Students' Attitudes, Perceptions, Performance, and Retention
Dr Nandini Bhowmick, Indiana State University; Dr Wendi Benson, Nevada State College
11:05 AM Dynamic Patterns in Student Evaluations of Teaching After Switching from a Traditional to Blended Format
Presentation
James Schmidt, University of Nebraska - Lincoln
11:20 AM Ensemble Learning for Estimating Individualized Treatment Effects in Student Success Studies
Presentation
Richard Levine, San Diego State University; Joshua Beemer, San Diego State University; Juanjuan Fan, San Diego State University
11:35 AM Implementing the HyFlex (Hybrid-Flexible) Model of Course Delivery in a Probability and Statistics Course for Engineers and Scientists
Presentation 1 Presentation 2
Jackie Miller, University of Michigan; Melinda E Baham, Baham Consulting
11:50 AM Concept Maps, Feedback, and Statistics Learning: Exploring the Effects of Expert Map Feedback and Peer Feedback on Concept Map Structure
Terry Hickey, St. Martin's University
12:05 PM Statistics Education Across the University: a Systematic Review
Presentation
Aimee Schwab-McCoy, Creighton University
 
 

380
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 206/207
Bringing Intro Stats into a Multivariate and Data-Rich World — Invited Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Jeff Witmer, Oberlin College
Chair(s): Ann Cannon, Cornell College
2:05 PM Inference in Three Hours, and More Time for the Good Stuff
Presentation
Allen Downey, Olin College of Engineering
2:25 PM Multivariable Thinking with Data Visualization
Presentation
Kari Lock Morgan, Pennsylvania State University
2:45 PM Multivariate Thinking and the Introductory Statistics Course: Preparing Students to Make Sense of a World Full of Observational Data
Presentation
Nicholas J. Horton, Amherst College; Sarah C Anoke, Harvard TH Chan School of Public Health; Brendan Seto, Amherst College
3:05 PM Intro Stats and Intro Data Science: Do We Need Both?
Presentation
Mine Cetinkaya-Rundel, Duke University
3:25 PM Discussant: Jeff Witmer, Oberlin College
3:45 PM Floor Discussion
 
 

404 *
Tue, 7/31/2018, 2:00 PM - 3:50 PM CC-West 211
Effectively Explaining Statistical Concepts to Researchers from Other Fields — Topic Contributed Panel
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Survey Research Methods Section, Business Analytics/Statistics Education Interest Group
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Harry Dean Johnson, Washington State University
2:05 PM Effectively Explaining Statistical Concepts to Researchers from Other Fields
Presentation 1 Presentation 2 Presentation 3
Panelists: Natalie Blades, Brigham Young University
Beth Chance, Cal Poly - San Luis Obispo
Paul Roback, St Olaf College
Heather Smith, Cal Poly
Kim Love, K. R. Love Quantitative Consulting and Collaboration
3:40 PM Floor Discussion
 
 

216574
Tue, 7/31/2018, 5:00 PM - 6:30 PM CC-West 302
BA/SE (Business Analytics/Statistics Education) Interest Group Business Meeting — Other Cmte/Business
Business Analytics/Statistics Education Interest Group
Chair(s): Scott Toney, Daniels College of Business, University of Denver
 
 

471 *
Wed, 8/1/2018, 8:30 AM - 10:20 AM CC-West 205
Innovative and Effective Teaching for Large-Enrollment Statistics and Data Science Courses — Topic Contributed Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Statistical Computing, Business Analytics/Statistics Education Interest Group
Organizer(s): Matthew D Beckman, Pennsylvania State University
Chair(s): Kari Lock Morgan, Pennsylvania State University
8:35 AM Effective Pedagogy in Large-Enrollment Statistics Courses
Presentation
Matthew D Beckman, Pennsylvania State University
8:55 AM Large-Scale Interactives for Large-Enrolment Courses
Anna Fergusson, The University of Auckland
9:15 AM Teaching Data Science as a First Statistics Course to 1,000 Students Per Semester
John DeNero, University of California, Berkeley; Ani Adhikari, University of California, Berkeley
9:35 AM Productive Struggle Toward Statistical Thinking: Fostering a Student-Active Learning Environment in a Large Class
Catherine Case
9:55 AM Discussant: Chris Wild, University of Auckland
10:15 AM Floor Discussion
 
 

516 * !
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 202
Setting up to Lead with Analytics: Organizational and Managerial Considerations — Topic Contributed Papers
Section on Statistical Consulting, Business Analytics/Statistics Education Interest Group
Organizer(s): Michiko I Wolcott, Msight Analytics
Chair(s): Vladimir J. Geneus, Eli Lilly and Company
10:35 AM Training Data Scientists - Experiential Learning Through Corporate/University Partnerships
Presentation
Herman Ray
10:55 AM The Care and Feeding of Magical Creatures: Managing Statisticians and Data Scientists in an Analytically Enthused World
Presentation
Chuck Kincaid, Experis BI & Analytics Practice
11:15 AM Setting Up the Organization for Analytics
Presentation
Michiko I Wolcott, Msight Analytics
11:35 AM Brief History of Statistics Without Borders Organizational Transformation
Cathy Furlong, Statistics Without Borders
11:55 AM Discussant: Douglas Zahn, Zahn & Associates
12:15 PM Floor Discussion
 
 

523
Wed, 8/1/2018, 10:30 AM - 12:20 PM CC-West 217
Fresh Approaches to Statistical Pedagogy — Contributed Papers
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Chair(s): Sybil Nelson
10:35 AM On Assessing Large Sample Properties of Estimators: An Empirical Approach
Presentation
Sadia Sarker, Eastern Michigan University; Khairul Islam, Eastern Michigan University
10:50 AM Extending the Applications of Simulation-Based Approaches in the Teaching of Elementary Statistics
Sherry Hix, University of North Georgia; Dianna Spence, University of North Georgia
11:05 AM Using Simulation Processes to Close the Background Gap Among Students
Presentation
Arturo Valdivia, Indiana University
11:20 AM Early Introduction of Hypothesis Testing in Introductory Statistics: a Pilot Study
Presentation
Wei Wei, Metropolitan State University; Heidi Hulsizer, Benedictine College; Aminul Huq, University of Minnesota Rochester
11:35 AM STEM Storytellers: Improving Graduate Students' Oral Communication Skills
Jennifer L Green, Montana State University; Shannon Willoughby, Montana State University; Brock LaMeres, Montana State University; Bryce Hughes, Montana State University; Leila Sterman, Montana State University; Christopher Organ, Montana State University; Kent Davis, Montana State University
11:50 AM Reflections on 10 Years of Teaching Online
Iain Pardoe, Thompson Rivers University
12:05 PM A Generalized Z Score for Both Symmetric and Asymmetric Distribution
Mian Adnan, Indiana University Bloomington
 
 

558 !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-West 212
Innovations in Teaching Undergraduate Probability — Invited Papers
Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Section on Risk Analysis, Business Analytics/Statistics Education Interest Group
Organizer(s): Dennis L Sun, Cal Poly and Google
Chair(s): Dennis L Sun, Cal Poly and Google
2:05 PM Teaching Probability via Stories and Mistakes
Presentation
Joseph Blitzstein, Harvard University
2:25 PM A Simulation-Based Approach to Teaching Probability Using the Symbulate Package
Presentation
Kevin J Ross, Cal Poly; Dennis L Sun, Cal Poly and Google
2:45 PM Teaching Markov Chains Using Java Applets
Jeffrey S Rosenthal, University of Toronto
3:05 PM Using Texas Hold 'Em Examples to Teach Probability
Presentation
Frederic Paik Schoenberg, UCLA
3:25 PM Discussant: Amy Wagaman, Amherst College
3:45 PM Floor Discussion
 
 

560 * !
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-East 19
Staying Statistically Relevant: Keep Your Skills Sharp! — Invited Papers
Section on Statistical Consulting, Section on Statistical Education, Section on Teaching of Statistics in the Health Sciences, Business Analytics/Statistics Education Interest Group
Organizer(s): Adin-Cristian Andrei, Northwestern University
Chair(s): Peter John De Chavez, PepsiCo
2:05 PM Do as I Say, Not as I Do: Learning from My Mistakes as a Statistical Collaborator
Richard De Veaux, Williams College
2:25 PM Data for Good: Staying Sharp While Giving Back
David Corliss, Peace-Work
2:45 PM An Old Dog Self-Teaching New Tricks
Presentation
Mithat Gonen, Memorial Sloan Kettering Cancer Center
3:05 PM Project Redux: If I Knew Then What I Know Now
Presentation
Mary J Kwasny, Northwestern University
3:25 PM Discussant: Adin-Cristian Andrei, Northwestern University
3:45 PM Floor Discussion
 
 

579
Wed, 8/1/2018, 2:00 PM - 3:50 PM CC-East 10
Building Bridges with Industry and Business for Statistical Programs — Topic Contributed Panel
Business Analytics/Statistics Education Interest Group, Section on Statistical Consulting
Organizer(s): Curt Hinrichs, SAS Institute, JMP Division
Chair(s): Scott Toney, Daniels College of Business, University of Denver
2:05 PM Building Bridges with Industry and Business for Statistical Programs
Presentation
Panelists: Sudipta Dasmohapatra, Duke University
Mark Morreale, SAS
Bill Thomas, Raytheon
Nathaniel Payne, Global Relay Communications Inc.
3:40 PM Floor Discussion
 
 

624 !
Thu, 8/2/2018, 8:30 AM - 10:20 AM CC-West 210
GAISEing into Introductory Service Courses in Light of Analytics/Data Science — Topic Contributed Panel
Section on Statistical Education, Business Analytics/Statistics Education Interest Group
Organizer(s): Amy L Phelps, Duquesne University
Chair(s): John Draper, The Ohio State University
8:30 AM GAISEing into Introductory Service Courses in Light of Analytics/Data Science
Presentation
Panelists: Amy L Phelps, Duquesne University
Beverly Wood, Embry-Riddle Aeronautical University, Worldwide
Mark Eakin, University of Texas Arlington
Mia Stephens, SAS Istitute, JMP Division
George Recck, Babson College
10:10 AM Floor Discussion